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There’s a growing community of developers who are using JavaScript to run machine learning models.
Private machine learning.
Fast and customized machine learning models.
Easy integration of machine learning in web and mobile applications.
JavaScript machine learning on server.
JavaScript makes machine learning accessible to web and front-end developers. It offers a powerful, open-source Tensorflow. js library that makes it possible to define, test, and run ML models in web browsers.
There are some advantages to using JavaScript for ML. Its popularity is one; while ML in JavaScript is not very popular at the moment, the language itself is. As demand for ML applications rises, and as hardware becomes faster and cheaper, it's only natural for ML to become more prevalent in the JavaScript world.
1. Private Machine Learning
2. Fast And Customized ML Models
3. Easy Integration Of Machine Learning In Web And Mobile Applications
4. JavaScript Machine Learning On Server
There are some advantages to using JavaScript for ML. Its popularity is one; while ML in JavaScript is not very popular at the moment, the language itself is. As demand for ML applications rises, and as hardware becomes faster and cheaper, it's only natural for ML to become more prevalent in the JavaScript world.